Ann Palladino

1.1k citations
5 papers · 524 indexed · 1 hit paper · h-index 4
Topics
CRISPR and Genetic Engineering (3 papers)Cancer Mechanisms and Therapy (1 paper)Ureteral procedures and complications (1 paper)
Partner nations
United StatesIsrael

In The Last Decade

Ann Palladino

5 papers receiving 514 citations

Hit Papers

Off-target toxicity is a common mechanism of action of ca...20192026202120232019100200300400

Peers

Ann Palladino
Comparison fields: 5 of 82
  • Molecular Biology 352
  • Oncology 109
  • Computational Theory and Mathematics 75
  • Cancer Research 55
  • Biomedical Engineering 49
Replace Luwei Liu with:
Luwei Liu United States
Patricia Jaaks Germany
Alexander R. Chait United States
Bram Thijssen Netherlands
Gretchen A. Repasky United States
Giuseppe Galletti United States
Göran Dahl Sweden
Morgan Pellerano France
C. Moeder United States
Alexander Bolaender United States
Ann Palladino relative to Luwei Liu United States Luwei Liu's profile →
Citations per field
00.5×1.5×2.2×
Luwei Liu · 1×
Citations per year

Countries citing papers authored by Ann Palladino

Since Specialization
Citations

This map shows the geographic impact of Ann Palladino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ann Palladino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Palladino more than expected).

Fields of papers citing papers by Ann Palladino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Palladino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ann Palladino. The network helps show where Ann Palladino may publish in the future.

Co-authorship network of co-authors of Ann Palladino

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Palladino. A scholar is included among the top collaborators of Ann Palladino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ann Palladino. Ann Palladino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 3
2
Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trialsbreakdown →
455
3 61
4 4
5 1

About Ann Palladino

Ann Palladino is a scholar working on Obstetrics and Gynecology, Cancer Research and Molecular Biology, having authored 5 papers that have together received 524 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Cancer Mechanisms and Therapy (1 paper) and Ureteral procedures and complications (1 paper). The work is most often cited by research in Molecular Biology (352 citations), Computational Theory and Mathematics (75 citations) and Oncology (109 citations). Ann Palladino has collaborated with scholars based in United States and Israel. Frequent co-authors include Christopher J. Giuliano, Jason M. Sheltzer, Ann Lin, Erin L. Sausville, Luwei Liu, Kristen M. John, Alexander R. Chait, Clara Tucker, Joan C. Smith and Ekta Khurana. Their work appears in journals such as Cancer Research, Science Translational Medicine and eLife.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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